OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Attention Measurement of an Autism Spectrum Disorder User Using EEG Signals: A Case Study
José Jaime Esqueda-Elizondo, Reyes Juárez‐Ramírez, Oscar Roberto López-Bonilla, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 2, pp. 21-21
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Classifying Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks
Marco Antonio Gómez-Guzmán, Laura Jiménez-Beristáin, Enrique Efrén García-Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 955-955
Open Access | Times Cited: 100

Identification of autism spectrum disorder based on electroencephalography: A systematic review
Jing Li, Xiangjin Kong, Linlin Sun, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108075-108075
Closed Access | Times Cited: 13

Measuring student attention based on EEG brain signals using deep reinforcement learning
Asad Ur Rehman, Xiaochuan Shi, Farhan Ullah, et al.
Expert Systems with Applications (2025), pp. 126426-126426
Closed Access

Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
Khosro Rezaee
Computer Science Review (2025) Vol. 56, pp. 100730-100730
Closed Access

Evaluation of Machine Learning Algorithms for Classification of EEG Signals
Francisco Javier Ramírez-Arias, Enrique Efrén García-Guerrero, Esteban Tlelo‐Cuautle, et al.
Technologies (2022) Vol. 10, Iss. 4, pp. 79-79
Open Access | Times Cited: 24

Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis
Eduardo Enrique Contreras-Luján, Enrique Efrén García-Guerrero, Oscar Roberto López-Bonilla, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 2, pp. 24-24
Open Access | Times Cited: 19

Innovative Strategies for Early Autism Diagnosis: Active Learning and Domain Adaptation Optimization
Mohammad Shafiul Alam, Elfatih A. A. Elsheikh, F. M. Suliman, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 629-629
Open Access | Times Cited: 3

Identifying autism using EEG: unleashing the power of feature selection and machine learning
Anamika Ranaut, Padmavati Khandnor, Trilok Chand
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035013-035013
Closed Access | Times Cited: 2

RT-NeuroDDSM: Real-Time EEG-Driven Diagnostic Decision Support Model for Neurological Disorders Using Deep Learning
Ruchi Mittal, John Martin, Hamdan Alshehri, et al.
IEEE Access (2024) Vol. 12, pp. 116711-116726
Open Access | Times Cited: 2

CNN-FEBAC: A framework for attention measurement of autistic individuals
Manan S. Patel, Harsh Bhatt, Manushi Munshi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105018-105018
Closed Access | Times Cited: 6

Study of the Length of time Window in Emotion Recognition based on EEG Signals
Alejandro Jarillo-Silva, Víctor Alberto Gómez-Pérez, Omar A. Domínguez-Ramírez
Revista Mexicana de Ingeniería Biomédica (2024) Vol. 45, Iss. 1, pp. 31-42
Open Access | Times Cited: 1

Measuring Student Attention Based on Eeg Brain Signals Using Deep Reinforcement Learning
Asad Rehman, Xiaochuan Shi, Farhan Ullah, et al.
(2024)
Closed Access | Times Cited: 1

Attention Level Evaluation in Children With Autism: Leveraging Head Pose and Gaze Parameters From Videos for Educational Intervention
Elizabeth B. Varghese, Marwa Qaraqe, Dena Al-Thani
IEEE Transactions on Learning Technologies (2024) Vol. 17, pp. 1777-1793
Closed Access | Times Cited: 1

Attention Assessment in Children with Autism Using Head Pose and Motion Parameters from Real Videos
Elizabeth B. Varghese, Marwa Qaraqe, Dena Al-Thani, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 6462-6468
Closed Access | Times Cited: 3

Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment
Shasha Zhang, Dan Chen, Yunbo Tang, et al.
Neurocomputing (2022) Vol. 516, pp. 194-204
Closed Access | Times Cited: 4

Impact of Machine Learning and Deep Learning Techniques in Autism
Megha Bhushan, Maanas Singal, Arun Negi
Advances in medical technologies and clinical practice book series (2024), pp. 116-136
Closed Access

Cognitive Assessment Using EEG Data: Developing a Brain-Computer İnterface for Cognitive Function Evaluation
Siddhant Kodolkar, Sahil Madhyan, Harsh Karira, et al.
(2024), pp. 304-318
Closed Access

New Perspective of Multi-dimensional Approach for the Management of Attention-deficit Hyperactivity Disorder: A Review
Sachitanand Singh, Renu Thakur, Krishan Kumar, et al.
The Open Neuroimaging Journal (2024) Vol. 17, Iss. 1
Open Access

Utilizing Artificial Intelligence to Support Autism Research
Elizabeth B. Varghese, Marwa Qaraqe, Dena Al-Thani
Studies in neuroscience, psychology and behavioral economics (2024), pp. 87-108
Closed Access

AI Technology for Enhanced Learning Ability of Learners Using EEG Signals
Rabi Shaw, Simanjeet Kalia, Sourabh Mohanty, et al.
Advances in computational intelligence and robotics book series (2024), pp. 83-116
Closed Access

Characteristics of the top 100 cited electroencephalography articles on aging: a bibliometric analysis
Yuju Pu, Pei Tian, Zengping Huang
American Journal of Translational Research (2024) Vol. 16, Iss. 5, pp. 1749-1756
Open Access

Numerical and Evolutionary Optimization 2021
Marcela Quiroz‐Castellanos, Luis Gerardo de la Fraga, Adriana Lara, et al.
Mathematical and Computational Applications (2023) Vol. 28, Iss. 3, pp. 71-71
Open Access | Times Cited: 1

Using Machine Learning Algorithms on Electroencephalographic Signals to Assess Engineering Students' Focus While Solving Math Exercises
José Jaime Esqueda-Elizondo
Revista Mexicana de Ingeniería Biomédica (2023) Vol. 44, Iss. 4, pp. 23-37
Open Access | Times Cited: 1

A Method for Predicting the Visual Attention Area in Real-Time Using Evolving Neuro-Fuzzy Models
Rab Nawaz Jadoon, Aqsa Nadeem, Jawad Shafi, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2243-2243
Open Access

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